Bell Labs Machine Learning Intern

Position: Bell Labs Machine Learning Intern
Number of Position(s): 1
Duration: 10 weeks
Date:  June 2 – August 8, 2025
Location: On-site/Hybrid

 

Education Recommendations

Currently a candidate for a Master’s degree or diploma in Computer Science, Electrical Engineering, Mathematics, or a related field with an accredited school in the US.

As part of our team, you will:

During this internship, you will investigate essential hybrid large language models (LLM) and knowledge graph algorithms designed for creating insights from static and time-series industrial data. The project will specifically center on modeling and prototyping new techniques, employing the latest approaches to large language model (LLM)-based knowledge extraction from unstructured data, encompassing documents, text, and industrial operational technology (OT) data.

• You will investigate and utilize deep learning methods in the shape of transformers, graph embeddings, topic modeling, unsupervised clustering methods, and hybrid neural-symbolic methods.
  
   

You have:

• Knowledge of machine learning and/or natural language processing, such as large language models (LLMs) and their application to real-world problems. 
• Affinity with building web applications and loves to code in Python and/or Java/JavaScript.
• Strong ability to work within teams with excellent interpersonal skills and written/verbal communication skills.
  
   

It would be nice if you also had

• Some experience with creating practical data analytics and/or machine learning applications.

 

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.

Additional Information

US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to:

• Corporate Retirement Savings Plan
• Health and dental benefits
• Short-term disability, and long-term disability
• Life insurance, and AD&D – Company paid 2x base pay
• Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
• Paid time off for holidays and Vacation
• Employee Stock Purchase Plan
• Tuition Assistance Plan
• Adoption assistance
• Employee Assistance Program/Work Life Resource Program

The above benefits exclude students.

Disclaimer for US/Canada

Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.(Check the salary ranges in the job info section for this role)

All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.